Top Data & Analytics Jobs

The Data Tester will utilize Python, Pandas, and Numpy to develop and design data-driven systems, focusing on querying with SQL and understanding data modeling and warehouse concepts. Responsibilities include ETL processes, version control using Git/Bitbucket, and participation in Agile development, alongside managing job schedulers and potentially working with high-performance databases and cloud platforms like AWS or Azure.

The Regulatory Model Developer will develop and monitor regulatory models in compliance with global standards, ensuring adherence to Basel III and other regulations. The role involves credit risk analytics, collaboration with various teams, and providing insights to management. Expertise in Python and a strong understanding of regulatory guidelines are essential.

The Regulatory Compliance & Documentation Specialist will focus on developing and maintaining documentation for retail risk models, ensuring compliance with Basel III/IV regulations, and addressing regulatory compliance issues. The role requires expertise in regulatory guidelines and strong documentation skills to support audits and reviews.

The Model Monitoring & Governance Specialist will develop and implement monitoring frameworks for credit risk models including PD, LGD, and EAD. Responsibilities include model performance analysis, regulatory compliance, data management, and collaboration with teams to enhance model governance and data quality.

The Advanced Data Analytics - Risk Model Developer will develop, implement, and enhance advanced analytics models for risk management in the Wealth and Private Banking sector, utilizing Python and R. Responsibilities include data extraction, model development, stakeholder engagement, and collaboration to drive data-driven decision-making.

The Senior Consultant will design, develop, test, deploy, and maintain large-scale data pipelines, primarily using AWS Glue. The role involves collaboration with cross-functional teams to gather requirements, delivering high-quality ETL solutions, and applying strong AWS development experience for data integration and automation tasks.

The Senior Data Engineer will design and maintain scalable data pipelines, build API integrations, collaborate with analytics teams, and improve data models for business intelligence tools to enhance data-driven decision making.